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From Sunil G <sun...@apache.org>
Subject Re: [VOTE] Release Apache Hadoop 3.1.0 (RC1)
Date Mon, 02 Apr 2018 06:54:11 GMT
Thanks Wangda for initiating the release.

I tested this RC built from source file.


   - Tested MR apps (sleep, wc) and verified both new YARN UI and old RM UI.
   - Below feature sanity is done
      - Application priority
      - Application timeout
      - Intra Queue preemption with priority based
      - DS based affinity tests to verify placement constraints.
   - Tested basic NodeLabel scenarios.
      - Added couple of labels to few of nodes and behavior is coming
      correct.
      - Verified old UI  and new YARN UI for labels.
      - Submitted apps to labelled cluster and it works fine.
      - Also performed few cli commands related to nodelabel.
   - Test basic HA cases and seems correct.
   - Tested new YARN UI . All pages are getting loaded correctly.


- Sunil

On Fri, Mar 30, 2018 at 9:45 AM Wangda Tan <wheeleast@gmail.com> wrote:

> Hi folks,
>
> Thanks to the many who helped with this release since Dec 2017 [1]. We've
> created RC1 for Apache Hadoop 3.1.0. The artifacts are available here:
>
> http://people.apache.org/~wangda/hadoop-3.1.0-RC1
>
> The RC tag in git is release-3.1.0-RC1. Last git commit SHA is
> 16b70619a24cdcf5d3b0fcf4b58ca77238ccbe6d
>
> The maven artifacts are available via repository.apache.org at
> https://repository.apache.org/content/repositories/orgapachehadoop-1090/
> This vote will run 5 days, ending on Apr 3 at 11:59 pm Pacific.
>
> 3.1.0 contains 766 [2] fixed JIRA issues since 3.0.0. Notable additions
> include the first class GPU/FPGA support on YARN, Native services, Support
> rich placement constraints in YARN, S3-related enhancements, allow HDFS
> block replicas to be provided by an external storage system, etc.
>
> For 3.1.0 RC0 vote discussion, please see [3].
>
> We’d like to use this as a starting release for 3.1.x [1], depending on how
> it goes, get it stabilized and potentially use a 3.1.1 in several weeks as
> the stable release.
>
> We have done testing with a pseudo cluster:
> - Ran distributed job.
> - GPU scheduling/isolation.
> - Placement constraints (intra-application anti-affinity) by using
> distributed shell.
>
> My +1 to start.
>
> Best,
> Wangda/Vinod
>
> [1]
>
> https://lists.apache.org/thread.html/b3fb3b6da8b6357a68513a6dfd104bc9e19e559aedc5ebedb4ca08c8@%3Cyarn-dev.hadoop.apache.org%3E
> [2] project in (YARN, HADOOP, MAPREDUCE, HDFS) AND fixVersion in (3.1.0)
> AND fixVersion not in (3.0.0, 3.0.0-beta1) AND status = Resolved ORDER BY
> fixVersion ASC
> [3]
>
> https://lists.apache.org/thread.html/b3a7dc075b7329fd660f65b48237d72d4061f26f83547e41d0983ea6@%3Cyarn-dev.hadoop.apache.org%3E
>

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